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首页> 外文期刊>Polymer: The International Journal for the Science and Technology of Polymers >Molecular dynamics modeling of PPTA crystallite mechanical properties in the presence of defects
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Molecular dynamics modeling of PPTA crystallite mechanical properties in the presence of defects

机译:缺陷存在下PPTA微晶机械性能的分子动力学建模

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The mechanical properties of PPTA crystallites, the fundamental building blocks of aramid polymer fibers such as Kevlar (R) and Twaron (R), are studied here using molecular dynamics simulations. The ReaxFF interatomic potential is employed to study crystallite failure via covalent and hydrogen bond rupture in constant strain-rate tensile loading simulations. Emphasis is placed on analyzing how chain-end defects in the crystallite influence its mechanical response and fracture strength. Chain-end defects are found to affect the behavior of nearby chains in a region of the PPTA crystallite that is small relative to the typical crystallite size in manufactured aramid fibers. The central C-N bond along the backbone chain is identified as the weakest in the PPTA polymer chain backbone in dynamic strain-to-failure simulations of the crystallite. It is found that clustering of chain-ends leads to reduced crystallite strength and crystallite failure via hydrogen bond rupture and chain sliding, whereas randomly scattered defects impact the strength less and failure is by covalent bond rupture and chain scission. The axial crystallite modulus increases with increasing chain length and is independent of chain-end defect locations. On the basis of these findings, a theoretical model is proposed to predict the axial modulus as a function of chain length. (C) 2017 Elsevier Ltd. All rights reserved.
机译:使用分子动力学模拟研究了PPTA微晶的机械性能,芳族聚合物聚合物纤维(如Kevlar和Twaron(R)的基本结构块。 Reaxff内部潜力用于通过共价和氢键破裂在恒定应变速率拉伸加载模拟中研究微晶失效。重点是分析微晶中的链末端缺陷如何影响其机械响应和断裂强度。发现链末缺陷会影响与制造的芳族纤维中的典型微晶尺寸小的PPTA微晶区域中的附近链中的附近链的行为。沿着骨架链的中央C-N键被鉴定为PPTA聚合物链骨架中的最弱性,其在微晶的动态应变与衰竭模拟中。发现链末端的聚类导致通过氢键破裂和链条滑动降低微晶强度和微晶衰竭,而随机散射的缺陷会影响强度较少,并且失效是通过共价粘合破裂和链裂扰。轴向微晶模量随着链长的增加而增加,与链末端缺陷位置无关。在这些发现的基础上,提出了一种理论模型来预测作为链长的函数的轴向模量。 (c)2017 Elsevier Ltd.保留所有权利。

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